Cohort 2

Master Conformal Prediction and become the expert who delivers trustworthy, risk-aware ML in production.


Conformal Prediction Expert, PhD, Author

Valeriy Manokhin

Conformal Prediction expert · PhD · CP book author

Applied Conformal Prediction

Learn about, deep dive into and get hands-on experience with Conformal Prediction techniques for quantifying uncertainty in machine learning


Stanley Black &amp; Decker

🔥 Enrollment Now Open — Applied Conformal Prediction This is the&nbsp;most practical, zero-hype course on Conformal Prediction&nbsp;available—designed to move you from curiosity to confident deployment. If you're tired of vague uncertainty estimates and black-box trust issues, you're in the right place. We cap enrollment to create a tight, high-value learning environment—not a mass-market MOOC. 🧠 Built for Real-World Machine Learning Practitioners✅ Struggling to&nbsp;quantify uncertainty&nbsp;in your models with confidence?✅ Need&nbsp;reliable predictions that stand up in production—not just in notebooks?✅ Tired of “explainability” that’s vague, unconvincing, or not actionable? This course isn’t about academic exploration.It’s about building&nbsp;trustworthy, interpretable, and calibrated AI systems—at scale. ✅ What You’ll Learn to Do💎&nbsp;Apply Conformal Prediction&nbsp;to any ML pipeline—classification, regression, time series, Computer Vision and NLP💎&nbsp;Quantify uncertainty&nbsp;rigorously, using proven, distribution-free techniques💎&nbsp;Deliver reliable prediction intervals&nbsp;with real-world performance guarantees💎&nbsp;Communicate risk clearly&nbsp;to non-technical stakeholders💎&nbsp;Use Conformal Prediction in production&nbsp;with modern ML and Conformal Prediction tools. Every module is hands-on, practical, and tested in real industry use cases. eLarn why Conformal Prediction works, and how to use it to deliver measurable ROI, unlock new ML capabilities, and secure your competitive edge for the future. 👨‍🏫 Meet Your Instructor: Dr. Valeriy Manokhin Dr. Manokhin is a&nbsp;recognized authority on Conformal Prediction—trained under its original creator, Professor Vladimir Vovk. He’s the author of the&nbsp;bestselling&nbsp;Practical Guide to Applied Conformal Prediction, creator of the&nbsp;Awesome Conformal Prediction&nbsp;GitHub repo (3,300+ stars), and an active researcher published in top machine learning journals. ✅ Built AI systems for Fortune 500s and global consultancies✅ Published peer-reviewed work on uncertainty quantification✅ Advised startups and financial firms on deploying trustworthy ML His approach blends&nbsp;deep academic insight&nbsp;with&nbsp;real-world deployment experience—you’ll get both the theory&nbsp;andthe practice that matter. 🌍&nbsp;Trusted by ML Professionals at:Amazon, Apple, Google, Meta, Nike, BlackRock, Dell, Target, Ericsson, ABN Amro, BBVA, Cisco, State Farm, Yum!, OKX, Squarepoint Capital, Ralph Lauren, Volvo, Monzo, Globo, CBC/Radio-Canada, AIA Singapore, Align Technology, Fetch, Fractal Analytics, CloudWalk, Markel, Vrify, Mantel Group, Crateflow, Spice AI, Maclear Data Solutions, Mercado Libre—and many more. Plus researchers and professionals from world-class institutions including:KTH, DTU, USC, Universidad Carlos III de Madrid, Politecnico di Milano, Universitat Politècnica de Catalunya, Utah State University, Princess Nourah University, and others.Participants include:✅&nbsp;Executives and VPs of Engineering✅&nbsp;Principal and Lead Data Scientists✅&nbsp;Quant Researchers and AI Engineers✅&nbsp;Independent Consultants and Industry Trainers✅&nbsp;University Professors and PhD Students This is a course for professionals who lead, teach, and build real-world machine learning systems that must be trusted, interpretable, and production-ready. ❌ What This Course Is Not🚫 Not a shallow overview of uncertainty🚫 Not just another Python tutorial🚫 Not a "trust the math" black boxThis is a&nbsp;strategic, rigorous, and actionable program&nbsp;for professionals who care about&nbsp;model trust, interpretability, and risk-aware AI. ✅ Final CallIf you're building models that affect real-world decisions—finance, healthcare, logistics, energy, or tech—uncertainty isn't optional. It's mission-critical.﻿Learn Conformal Prediction the right way—so you can deploy it with confidence.📅 Enrollment is open now⚠️ Limited seats per cohort💥 Price may increase without notice👉 Secure your seat today and build machine learning systems you—and your stakeholders—can truly trust.

What you will learn


Senior Data Science Leaders at Global Brands Titles:&nbsp;VP, Director of Data &amp; Analytics, Head of AI

Mid-Level Data Scientist in Tech, Finance, or Industry Titles:&nbsp;Lead / Senior Data Scientist, Quantitative Researcher, ML Engineer

PhD Researcherc/ Academic in Data Science, Consultant Titles:&nbsp;Professor, PhD Student, Assistant Professor, Researcher, Consultant

Who is this course for

Comfort with high-school level math, including basic algebra, probability, and statistics. No advanced math or calculus required.

High-school level math

Basic proficiency in Python. You should be able to read and write simple code using tools like pandas, numpy, and scikit-learn.

🐍 Python

No prior experience with Conformal Prediction is required—everything you need is explained from the ground up.

No  Conformal Prediction background - not needed

What you’ll get out of this course

By the end of the course, students will be able to comprehend the principles of Conformal Prediction and its significance in fostering the development of reliable AI systems.

Master Conformal Prediction, a very popular and fast-growing machine learning  framework for uncertainty quantification 


Discover how to enhance your machine learning models with Conformal Prediction. You'll learn to apply this technique for more reliable and interpretable predictions, equipping you with the skills to improve decision-making and solution effectiveness across various industries.

Apply Conformal Prediction to maximize the effectiveness of your solutions 


Navigate the landscape of Conformal Prediction frameworks in our focused course. Gain the ability to distinguish between, understand, and effectively apply different Conformal Prediction methods to elevate the precision and trustworthiness of your machine learning models.

Learn about, differentiate between and apply various Conformal Prediction frameworks.


Revisit all course materials, recordings, and resources anytime you need—no expiration, no gatekeeping. Use it as a long-term reference.


♾️ Lifetime Access


Join a private community of forecasting professionals from top companies like Amazon, Apple, Google, Goldman Sachs, MorganStanley, Meta


🌐 Community of Global Peers


Earn a professional certificate to showcase your forecasting expertise—perfect for sharing with your employer or featuring on LinkedIn.


📜 Certificate of Completion


Join a private community of professionals from top companies like Amazon, Apple, Google, Goldman Sachs, Morgan Stanley. Walmart, Target.


Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Data Analysis Manager at Elia Group, became the winner of the first Kaggle Probabilistic Forecasting competition.


Senior Data Scientist with Visteon Coorporation 


What people are saying

PhD, MBA, CQF


Meet your instructor

Monday & Wednesday 


Weekly projects

Course schedule

This course builds on live workshops and hands-on projects

Active hands-on learning

You’ll be interacting with other learners through breakout rooms and project teams

Interactive and project-based

Join a community of like-minded people who want to learn and grow alongside you

Course completed by

About this course

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